Programs in Higher Education

Programs in Higher Education Supported by the O'Donnell Foundation
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Applied Computational Engineering and Sciences (ACES) (http://www.aces.utexas.edu)
The Applied Computational Engineering and Sciences (A.C.E.S.) Building is the newest addition to The University of Texas at Austin campus. This state-of-the-art facility supports interdisciplinary research and graduate study in computational science and engineering, mathematical modeling, applied mathematics, software engineering and computer visualization.

Center For Human Nutrition (http://www2.swmed.edu/humannutrition/)
The Center for Human Nutrition was established at The University of Texas Southwestern Medical Center (UT Southwestern Medical Foundation) to create an endowment fund for use by UT Southwestern in developing a program to place the entire field of nutrition on a firm scientific foundation.

Texas Institute for Computational and Applied Mathematics (TICAM) (http://www.ticam.utexas.edu)
The Texas Institute for Computational and Applied Mathematics (TICAM) is an organized research unit established by The University of Texas at Austin to foster interdisciplinary research in broad areas of computational science and computational and applied mathematics. Its major mission is to develop, organize, and administer programs in basic and applied research that deal with mathematical modeling and computer simulation.

Alliance For Cellular Signaling (AFCS) (http://cellularsignaling.org/)
The overall goal of the Alliance for Cellular Signaling is to understand as completely as possible the relationships between sets of inputs and outputs in signaling cells that vary both temporally and spatially. The same goal, stated from a slightly different perspective, is to understand fully how cells interpret signals in a context-dependent manner. This will involve identification of all the proteins that comprise the various signaling systems, the assessment of time-dependent information flow through the systems in both normal and pathological states, and finally the reduction of the mass of detailed data into a set of interacting theoretical models that describe cellular signaling.